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» Data Mining from Functional Brain Images
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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 6 months ago
Mining for proposal reviewers: lessons learned at the national science foundation
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
Seth Hettich, Michael J. Pazzani
CVPR
2003
IEEE
16 years 8 months ago
What is the Space of Camera Response Functions?
Many vision applications require precise measurement of scene radiance. The function relating scene radiance to image brightness is called the camera response. We analyze the prop...
Michael D. Grossberg, Shree K. Nayar
HCI
2009
15 years 4 months ago
A Comparison of Artifact Reduction Methods for Real-Time Analysis of fNIRS Data
Due to its convenient, low physical restraint, and electric noise tolerant features, functional near-infrared spectroscopy (fNIRS) is expected to be a useful tool in monitoring use...
Takayuki Nozawa, Toshiyuki Kondo
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
16 years 1 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
DIS
2006
Springer
15 years 10 months ago
Symmetric Item Set Mining Based on Zero-Suppressed BDDs
In this paper, we propose a method for discovering hidden information from large-scale item set data based on the symmetry of items. Symmetry is a fundamental concept in the theory...
Shin-ichi Minato